Data Engineer

K Health • New York, NY

2d • $150,000 - $175,000 • Hybrid

About The Position

K Health is seeking an experienced Data Engineer with expertise in SQL, Python, and data modeling. The role supports the company’s data ecosystem by designing and executing cross-engineering initiatives and projects, and by developing high-quality data pipelines and models that inform organizational decisions. The Data Engineer will help ensure data quality, build scalable systems, and support cross-functional teams with clean, accurate, actionable data.

The role involves developing and optimizing data services and solutions for company products, including FeatureStore and synthetic data management. It also includes designing and integrating LLM- and agent-based capabilities into data platforms and services, building and maintaining scalable pipelines and robust data models, implementing data quality standards, and managing large-scale data storage and processing systems.

The position requires onsite presence in K Health’s New York City office four days per week, with Fridays remote. The company does not provide immigration support.

Requirements

• At least 5 years of experience as a Data Engineer or Backend Engineer, with a strong emphasis on data processing.
• Proven ability to use Python to build services, solutions, data pipelines, automations, and integration tools.
• Deep experience crafting complex SQL queries, optimizing performance, and working with large datasets.
• Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
• Commitment to maintaining data quality and ensuring trust in business-critical data.

Nice To Haves

• Experience with cloud platforms such as AWS, GCP, or Azure for data engineering and storage solutions.
• Knowledge of data orchestration tools such as Airflow.
• Understanding of CI/CD practices and version control systems.
• Experience with Kubernetes.
• Experience in ML/AI development.

Responsibilities

• Design, develop, and optimize data services and solutions that support company products, such as FeatureStore and synthetic data management.
• Work with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
• Design and integrate LLM- and agent-based capabilities into data platforms and services to enable smarter data operations and AI-driven data products.
• Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
• Build and maintain robust data models supporting clinical, business intelligence, and operational needs.
• Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
• Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

Benefits

• 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days.
• Stock options for every full-time employee.
• Paid parental leave.
• 401k benefit.
• Commuter benefits.
• Competitive health, dental, and vision insurance options.
• Weekly lunches on Monday, Tuesday, and Thursday, and a stocked kitchen with healthy snacks and beverages.
• Monthly social committees for company events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed